• Master Program
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Programs and Courses
  • The course and credit requirements for graduation from the department are listed as follows:

    1. 10 credits of professional compulsory courses.

    2. 6 credits of Thesis

    3. At least 30 credits of professional compulsory courses, Thesis, and elective courses combined.

Master Courses

Major Required Courses

Year Course Title 1st semester. 2nd semester. credits
Freshman Colloquium in Mathematics (I) (1 credits) 1 0 10 credits
Colloquium in Mathematics (II) (1 credits) 0 1
Sophomore Colloquium in Mathematics (III) (1 credits) 1 0
Colloquium in Mathematics (IV) (1 credits) 0 1
  Thesis (6 credits) 6


Elective Courses by section

Course Title 1st semester. 2nd semester. credits
Real Analysis (6 credits) 3 3 6 credits must be chosen from elective courses at section
Advanced Statistics (6 credits) 3 3
  3 3


Elective Courses

Course Title 1st semester 2nd semester
Topics in Nonlinear Analysis 1 1
Topics in Nonlinear Approximation 1 1
Topics in Algebraic Number Theory 0 1
Topics in Graph Theory 1 1
Topics in Financial Mathematics 1 1
Calculus of Variations 3 3
Multivariate Statistical Analysis 3 3
Numerical Iterative Methods 3 3
Financial Mathematics 3 3
Recent Development on Pseudo-Differential Operators (I) 0 3
Matrix Computation (3 credits) 0 3
Discrete Dynamical Systems (I)(II) 3 3
Ordinary Differential Equations (I)(II) 3 3
Difference Equations (I)(II) 3 3
Partial Differential Equations (I)(II) 3 3
Operator Theory (I)(II) 3 3
Theory of Linear Approximation 3 0
Theory of Nonlinear Approximation 0 3
Graph Theory (I)(II) 3 3
Combinatorial Theory (I)(II) 3 3
Matroid Theory 0 3
Applied Mathematics (I)(II) 3 3
Nonlinear Analysis (I)(II) 3 3
Integer Programming (I)(II) 3 3
Theory of Optimization (I)(II) 3 3
Approximation Theory (I)(II) 3 3
Applied Analysis (I)(II) 3 3
Modern Algebra (I)(II) 3 3
Numerical Linear Algebra (I)(II) 3 3
Applied Partial Differential Equations 3 0
Finite Difference Methods 0 3
Numerical Topics in Nonlinear Differentical Equations 3 3
Bifurcation Theory & Numerical Methods (I)(II) 3 3
Algorithm Design & Analysis ( I)(II) 3 3
Theoretical Fluid Dynamics 3 0
Computational Fluid Dynamics 0 3
Parallel Numerical Computation (I)(II) 3 3
Algebraic Combinatorics (I)(II) 3 3
Probability Theory (I)(II) 3 3
Mathematical Statistics (I)(II) 3 3
Multivariate Statistical Analysis 3 3